
togglr
An R and RStudio client for the Toggl API that lets users access and analyze their Toggl time tracking data directly from R.
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Togglr – Advisory & Implementation Services
Description
Togglr provides advisory and implementation services focused on application modernization, custom software development, API integration, and modern AI/platform strategies. The company helps organizations plan and execute automation and digital transformation initiatives, with an emphasis on cloud-first architectures and data-driven solutions.
Features
Application Development & Modernization
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Custom software development
- Full-stack development services for multi-platform applications.
- Uses modern development patterns and architectures.
- Suitable for both small and large enterprises.
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Product development
- Modernization of legacy applications and systems to support new products.
- Assessment and exploration of existing systems’ potential.
- Focus on reducing development complexity while improving performance and efficiency.
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Enterprise solutions
- Definition of enterprise architecture for complex projects and programs.
- High-level solution design across business and technology domains.
- Guidance for both business and technology stakeholders to align on architecture and roadmap.
API Development & Integration Services
- Development of specialized APIs for both new and legacy enterprise applications.
- Exposure of application data, functionality, business logic, and web services through APIs.
- Emphasis on API quality and standardization across the organization.
- Strategic API gateway management tailored for highly scalable SaaS products.
- Implementation of security controls aligned with OWASP Security Verification Standard.
- Support for cloud-first strategies and seamless digital transformation via API-led integration.
Modern AI & Platform Strategy
- Strategy and implementation services around AI and machine learning technologies.
- Use of deep learning frameworks (e.g., TensorFlow) for building AI-based products.
- Integration of real-time object detection capabilities using pre-trained AI models.
- Embedding AI models into client products and tools for pattern detection and prediction.
AI & Analytics Focus Areas
- Data analytics – leveraging organizational data for insights and decision-making.
- Retail – AI and analytics use cases tailored to retail scenarios (e.g., pattern detection and prediction in retail data).
- Similarity matching – identifying related or similar entities (products, content, users, etc.).
- Anomaly detection – detection of unusual patterns or behaviors in data.
- NLP & vision – natural language processing and computer vision capabilities for text and image-related tasks.
- Healthcare analytics – applying analytics and AI methods to healthcare-related data and use cases.
Pricing
Pricing information is not publicly listed. Organizations need to contact Togglr directly for detailed quotes and engagement models.
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